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Testing the Conventional and Islamic Financial Market Contagion: Evidence from Wavelet Analysis

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  • Buerhan Saiti
  • Obiyathulla Ismath Bacha
  • Mansur Masih

Abstract

This study is a first attempt at testing the extent of contagion for conventional and Shari’ah-compliant stock indices. We examine the period surrounding the U.S. subprime crisis of 2007–9 and the Lehman Brothers collapse of 2008 to determine the relative extent of contagion. We find no clear evidence of contagion during the subprime crisis however, during the Lehman collapse most conventional indices showed contagion. Interestingly, the Shari’ah-compliant indices mostly do not show evidence of contagion. Collectively, our results have important implications for fund managers in terms of asset allocation risk and policymakers seeking an optimal policy response to crises.

Suggested Citation

  • Buerhan Saiti & Obiyathulla Ismath Bacha & Mansur Masih, 2016. "Testing the Conventional and Islamic Financial Market Contagion: Evidence from Wavelet Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 52(8), pages 1832-1849, August.
  • Handle: RePEc:mes:emfitr:v:52:y:2016:i:8:p:1832-1849
    DOI: 10.1080/1540496X.2015.1087784
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    1. Kaminsky, Graciela L. & Reinhart, Carmen M., 2000. "On crises, contagion, and confusion," Journal of International Economics, Elsevier, vol. 51(1), pages 145-168, June.
    2. Seif El-Din Tag El-Din & M. Kabir Hassan, 2007. "Islam and Speculation in the Stock Exchange," Chapters, in: M. Kabir Hassan & Mervyn K. Lewis (ed.), Handbook of Islamic Banking, chapter 15, Edward Elgar Publishing.
    3. Rua, António & Nunes, Luís C., 2009. "International comovement of stock market returns: A wavelet analysis," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 632-639, September.
    4. Tiwari, Aviral Kumar, 2013. "Oil prices and the macroeconomy reconsideration for Germany: Using continuous wavelet," Economic Modelling, Elsevier, vol. 30(C), pages 636-642.
    5. Carmen M. Reinhart, 2002. "An Introduction," The World Bank Economic Review, World Bank, vol. 16(2), pages 149-150, August.
    6. Gencay, Ramazan & Selcuk, Faruk & Whitcher, Brandon, 2005. "Multiscale systematic risk," Journal of International Money and Finance, Elsevier, vol. 24(1), pages 55-70, February.
    7. Aït-Sahalia, Yacine & Cacho-Diaz, Julio & Laeven, Roger J.A., 2015. "Modeling financial contagion using mutually exciting jump processes," Journal of Financial Economics, Elsevier, vol. 117(3), pages 585-606.
    8. Ahlgren, Niklas & Antell, Jan, 2010. "Stock market linkages and financial contagion: A cobreaking analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(2), pages 157-166, May.
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    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • P5 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems

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